IronOCR Introduces New Methods IronOcr.Extension.AdvancedScan package
IronOCR.Extension.AdvancedScan designed to make text recognition from complex documents even easier. These recent updates bring a whole new level of efficiency and accuracy to your OCR projects, especially when dealing with detailed documents like receipts and license plates. Here’s a look at how IronOCR’s powerful features can streamline your work:
The AdvancedScan feature kicked things off by enhancing OCR accuracy, especially for tricky documents like receipts with varied layouts and image quality. AdvancedScan ensures all key details are captured accurately, making it ideal for businesses managing expenses or processing sales receipts.
IronOCR accurately extracts data from complex receipts, capturing essential information such as merchant details, transaction amounts, and more.
📷 ReadLicensePlate() – License Plate Detection Made Simple With the ReadLicensePlatefunction, IronOCR can detect and extract license plate numbers from vehicle images. This feature is ideal for parking systems, security applications, or any process requiring automated vehicle identification. (Read the Developer Tutorial)
From recognizing vehicle registration plates to reading specific text regions, IronOCR offers unparalleled accuracy and reliability.
ReadPassport() – Fast and Accurate Passport Scanning
With IronOCR’s ReadPassport feature, you can easily extract key information from the Machine Readable Zone (MRZ) at the bottom of a passport. This includes name, passport number, country, birth date, and expiration date, all essential for fast identity verification and travel management. (Read Tutorial).
ReadDocumentAdvanced() – Advanced Table and Document Processing
Our new ReadDocumentAdvanced feature, released in September 2023, makes handling complex, text-heavy documents easier. It uses computer vision to break down layouts into manageable sections, enhancing OCR accuracy across various document types. (Read More).
Tables: Detects structured data within tables, capturing each cell with precision.
- NoOutlineRegion: Customize your OCR by specifying regions without outlines, ensuring flexibility for unstructured data areas.
Improving OCR Accuracy with Targeted Re-Read
If you're not satisfied with initial OCR results, IronOCR offers the flexibility to re-read specific cells or table sections using a bounding rectangle. This approach allows you to refine accuracy by reloading and focusing the OCR on specific areas, especially helpful for complex tables or small text fields.
For example, in this code:
- We identify a specific cell's bounding rectangle and load only that area for OCR.
- This targeted reading enhances precision, particularly in documents with intricate layouts.
Using this method, you can achieve highly accurate results by isolating and re-processing only the essential parts of a document.
🔔 A Milestone for IronOCR: Precision OCR for Complex Documents
IronOCR has reached a major milestone in intelligent text recognition with the introduction of AdvancedScan, ReadLicensePlate(), ReadPassport(), and ReadDocumentAdvanced(). These updates bring powerful OCR capabilities to real-world use cases from accurately capturing structured data in receipts and tables to detecting license plates and extracting MRZ data from passports.
With features like targeted re-read for specific regions, customizable NoOutlineRegion handling, and layout-aware document parsing, IronOCR now offers fine-grained control and high-accuracy results even on the most complex documents. These advancements make IronOCR a leading choice for developers building OCR workflows in industries like finance, logistics, identity verification, and security.
🚀 Level up your OCR projects today – Try IronOCR for free and experience unmatched accuracy, flexibility, and performance.
